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google/gemma-3-4b

LM-STUDIO MLX

gemma3 · 4B · 4bit

Good

Mar 3, 2026 · Apple M4

ornith-1.5:9b

OLLAMA GGUF

qwen35 · 9.0B · Q4_K_M

Good

Aug 24, 2026 · Apple M1 Pro

Global Score
76 vs 69
Hardware Fit
100 vs 95
Quality Score
66 vs 58

Hardware

google/gemma-3-4b ornith-1.5:9b
MachineMacBook AirMacBook Pro
CPUApple M4Apple M1 Pro
Cores1010
RAM32 GB16 GB
GPUApple M4Apple M1 Pro
OSmacOS 26.3macOS 26.6.2
Archarm64arm64
Power Modebalancedbalanced

Performance

google/gemma-3-4b ornith-1.5:9b
Tokens/sec39.422.2
First chunk468 ms341 ms
TTFT468 ms341 ms
Load timeN/A4.8 s
Memory usage2.8 GB7.1 GB
Memory %9%45%

HW Fit Score Breakdown

google/gemma-3-4b

Speed
50/50
TTFT
20/20
Memory
30/30

ornith-1.5:9b

Speed
49/50
TTFT
20/20
Memory
26/30

Quality

google/gemma-3-4b

Reasoning
10/20
Coding
17/20
Instruction
13/20
Structured
12/15
Math
4/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong

ornith-1.5:9b

Reasoning
19/20
Coding
15/20
Instruction
6/20
Structured
2/15
Math
15/15
Multilingual
1/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Poor
View google/gemma-3-4b details | View ornith-1.5:9b details

Run yours and compare

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest